Hi, I want to evaluate if bird species respond strongly to management,
vegetation or both. I am running different models with different species.
Here is the overall formula here:



print(fm1 <- glmer(birds ~ ownership + (1 | site), family=poisson,
data=wma))



And I want to know the syntax to get the confidence intervals (lower and
upper limit) for the parameters in the fixed effects. I have used:

confint(fm1), but I get an error message, although this code has worked for
me when I used glm. It is possible to specify the confidence level(0.90,
0.95)?



Thanks so much for any insights.



The output I get is:



Generalized linear mixed model fit by the Laplace approximation

Formula: birds ~ ownership + (1 | site)

   Data: wma

   AIC   BIC logLik deviance

 171.3 184.7 -81.63    163.3

Random effects:

 Groups Name        Variance Std.Dev.

 site   (Intercept) 0.099663 0.31569

Number of obs: 211, groups: site, 36



Fixed effects:

                     Estimate Std. Error z value Pr(>|z|)

(Intercept)            0.1209     0.1497   0.807  0.41947

ownershipCrownland     0.5362     0.1977   2.712  0.00669 **

ownershipPrivateland   0.3902     0.1956   1.995  0.04608 *

---

Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1



-- 
Sandra M Durán
University of Alberta

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